class Aws::TranscribeService::Types::CallAnalyticsJobSettings
Provides optional settings for the `CallAnalyticsJob` operation.
@note When making an API call, you may pass CallAnalyticsJobSettings
data as a hash: { vocabulary_name: "VocabularyName", vocabulary_filter_name: "VocabularyFilterName", vocabulary_filter_method: "remove", # accepts remove, mask, tag language_model_name: "ModelName", content_redaction: { redaction_type: "PII", # required, accepts PII redaction_output: "redacted", # required, accepts redacted, redacted_and_unredacted }, language_options: ["af-ZA"], # accepts af-ZA, ar-AE, ar-SA, cy-GB, da-DK, de-CH, de-DE, en-AB, en-AU, en-GB, en-IE, en-IN, en-US, en-WL, es-ES, es-US, fa-IR, fr-CA, fr-FR, ga-IE, gd-GB, he-IL, hi-IN, id-ID, it-IT, ja-JP, ko-KR, ms-MY, nl-NL, pt-BR, pt-PT, ru-RU, ta-IN, te-IN, tr-TR, zh-CN, zh-TW, th-TH, en-ZA, en-NZ }
@!attribute [rw] vocabulary_name
The name of a vocabulary to use when processing the call analytics job. @return [String]
@!attribute [rw] vocabulary_filter_name
The name of the vocabulary filter to use when running a call analytics job. The filter that you specify must have the same language code as the analytics job. @return [String]
@!attribute [rw] vocabulary_filter_method
Set to mask to remove filtered text from the transcript and replace it with three asterisks ("***") as placeholder text. Set to `remove` to remove filtered text from the transcript without using placeholder text. Set to `tag` to mark the word in the transcription output that matches the vocabulary filter. When you set the filter method to `tag`, the words matching your vocabulary filter are not masked or removed. @return [String]
@!attribute [rw] language_model_name
The structure used to describe a custom language model. @return [String]
@!attribute [rw] content_redaction
Settings for content redaction within a transcription job. @return [Types::ContentRedaction]
@!attribute [rw] language_options
When you run a call analytics job, you can specify the language spoken in the audio, or you can have Amazon Transcribe identify the language for you. To specify a language, specify an array with one language code. If you don't know the language, you can leave this field blank and Amazon Transcribe will use machine learning to identify the language for you. To improve the ability of Amazon Transcribe to correctly identify the language, you can provide an array of the languages that can be present in the audio. Refer to [Supported languages and language-specific features][1] for additional information. [1]: https://docs.aws.amazon.com/transcribe/latest/dg/how-it-works.html @return [Array<String>]
@see docs.aws.amazon.com/goto/WebAPI/transcribe-2017-10-26/CallAnalyticsJobSettings AWS API Documentation
Constants
- SENSITIVE